Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Grammar | 3 |
| Intuition | 3 |
| Classroom Research | 1 |
| Educational Research | 1 |
| English | 1 |
| English (Second Language) | 1 |
| Error Correction | 1 |
| Feedback (Response) | 1 |
| Generative Grammar | 1 |
| Language Teachers | 1 |
| Learning Processes | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Descriptive | 3 |
| Opinion Papers | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lopez-Serena, Araceli – Language Sciences, 2009
Riemer (2009) complains that a large number of sentences, despite appearing to be acceptable to many native speakers of English--including himself--are treated as ungrammatical in recent works that subscribe to the generative approach to (the English) language. In his opinion, this need not be considered "as evidence of an overly narrow…
Descriptors: Sentences, Grammar, Intuition, Native Speakers
Brown, Dan – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2012
Language teachers spend much of their time providing corrective feedback on students' writing in hope of helping them improve grammatical accuracy. Turning to research for guidance, however, can leave practitioners with few concrete answers as to the effectiveness of written corrective feedback (CF). Debate in the literature continues, reflecting…
Descriptors: Student Attitudes, Feedback (Response), Research Methodology, Learning Theories
Peer reviewedLing, Charles X.; Marinov, Marin – Cognitive Science, 1994
Challenges Smolensky's theory that human intuitive/nonconscious cognitive processes can only be accurately explained in terms of subsymbolic computations in artificial neural networks. Symbolic learning models of two cognitive tasks involving nonconscious acquisition of information are presented: learning production rules and artificial finite…
Descriptors: Grammar, Intuition, Learning Processes, Mathematical Formulas

Direct link
